132: Options Position Sizing Case Study
In this special Thanksgiving episode of the SMOT podcast, I want to take a moment to say thank you for being a dedicated listener. Wishing you and your family the very best this holiday season!
Today, we’re diving into a case study on options position sizing. I recently posted a video on YouTube where I compared the same trading strategy across different account sizes and allocations to see how position sizing can dramatically impact performance. In this episode, you’ll hear the audio from that video.
Here's the link: https://youtu.be/ThDgXklMG40
If you’re a visual learner, I’ve included a link to the YouTube video so you can check out the performance metrics in detail—it’s only 12 minutes long!
Before we jump in, a quick ask: If you’re enjoying the SMOT podcast, I’d be thrilled if you left a review on Apple or Spotify. It takes just 30 seconds, and it means the world.
Now, let’s get into this case study on optimizing your options position sizing!
Want to connect? Find me on LinkedIn or X:
Eric O'Rourke: https://www.linkedin.com/in/jericorourke/
Eric O'Rourke: https://twitter.com/OptionAssassin
After that, join other listeners at https://StockMarketOptionsTrading.net and join the community for free right now where there are daily posts with clues to the where the market may be headed next.
Also on the website, Alpha Traders Club is where I host my SPX Live Chat each day for trading SPX weekly options. We focus on the premarket data and levels, technical analysis, and options flow for trading high probability trades for weekly income.
Here's the link: https://www.stockmarketoptionstrading.net/spaces/12282222
Disclaimer: This podcast is for informational and educational purposes only and should not be considered financial advice.
PS:
Updated options trading research now available in the SPX Income Masterclass geared towards beginners with small accounts and for those who don't want to watch the market all day. The strategies included in this Lifetime Access and Updates course are mechanical in nature and lend themselves to automated trading which is also discussed in the course.
Here's the link to the SPX Income Masterclass:
https://www.stockmarketoptionstrading.net/spaces/4688450